1 00:00:00,000 --> 00:00:04,001 Welcome everybody. I haven't done a film screening in a while. This is my excuse 2 00:00:04,001 --> 00:00:09,000 for being here. I made, as you will see, a film called Sunspring which we're not 3 00:00:09,000 --> 00:00:11,001 watching, which is the first film written by artificial intelligence. It was 4 00:00:11,001 --> 00:00:18,001 written by an LSTM RNN in 2016. That machine then called itself 5 00:00:18,001 --> 00:00:22,001 Benjamin in an interview where it was interviewed by the film 6 00:00:22,001 --> 00:00:24,000 festival that we'd made it for. 7 00:00:24,001 --> 00:00:28,001 Strangely, the 48-hour film festival challenge that it was made for is running 8 00:00:28,001 --> 00:00:33,000 tomorrow again in its annual. So it's kind of the anniversary of Sunspring today, 9 00:00:33,000 --> 00:00:38,000 which is weird. So yeah, we did that. Then a year later we made another one 10 00:00:38,000 --> 00:00:42,000 called It's No Game for the same 48-hour competition and that one was about a 11 00:00:42,001 --> 00:00:45,001 writer strike in the face of artificial intelligence, which if you don't know is 12 00:00:45,001 --> 00:00:48,001 happening right now. And in fact I'm caught up in it because I am a screenwriter, 13 00:00:49,000 --> 00:00:53,000 as is Laurie, who will be interviewing me shortly, which is weird. So we 14 00:00:53,000 --> 00:00:58,000 accidentally predicted what's currently happening. It wasn't that accidental. I 15 00:00:58,000 --> 00:01:02,001 was a small child. I used to sit there with my computer with my hand on an air 16 00:01:02,001 --> 00:01:06,000 ionizer at a BBC micro and the other hand on the floppy disk drive and it would 17 00:01:06,000 --> 00:01:09,001 go and strange text would scroll up the screen and it would say, Oscilli, 18 00:01:09,001 --> 00:01:14,000 Oscilli, Oscilli, my name is Oscar. In the default world it's Animus here. And I 19 00:01:14,000 --> 00:01:16,001 thought it was talking to me. So I was always obsessed with talking to computers, 20 00:01:16,001 --> 00:01:20,000 who knew? And then when I was 14 years old I was taken to CERN and I met Tim 21 00:01:20,000 --> 00:01:22,001 Berners-Lee, who is here now, so my life is incredibly 22 00:01:22,001 --> 00:01:25,000 weird. Hi Tim, nice to see you again. 23 00:01:25,000 --> 00:01:31,001 So yes, then we made a third one called, what was that called? I can't remember, 24 00:01:31,001 --> 00:01:35,000 but it was like the first one that was entirely directed by a computer because it 25 00:01:35,000 --> 00:01:38,000 was deepfakes and the computer did the music and it wrote the script, it did 26 00:01:38,000 --> 00:01:42,000 everything for number three. And then we left it for a while, we were sort of 27 00:01:42,000 --> 00:01:46,001 done with this Benjamin machine, myself and my collaborator Ross Goodwin. And 28 00:01:46,001 --> 00:01:52,001 then Robert Downey Jr. called us and said, can you... 29 00:01:54,000 --> 00:01:57,001 True story, yeah. I actually need Laurie to stand behind me yelling that quite a 30 00:01:57,001 --> 00:02:02,001 lot of times in my life because my life is so weird. But so is the answer. No one 31 00:02:02,001 --> 00:02:07,000 can afford to be Laurie. So Robert Downey Jr. calls up and goes, we're making a 32 00:02:07,000 --> 00:02:12,000 documentary for YouTube about AI, can you do it again? Can you make another one 33 00:02:12,000 --> 00:02:15,001 so we can shoot behind the scenes? And I said, I didn't want to do... this 34 00:02:15,001 --> 00:02:17,000 one, Sunspring was done on sci-fi 35 00:02:17,000 --> 00:02:19,000 screenplays, we've had sci-fi screenplays to the robot. 36 00:02:19,001 --> 00:02:24,000 In this case, I was like, well it's Robert Downey Jr., he's Iron Man, let's do 37 00:02:24,000 --> 00:02:28,001 action heroes. And we put lots of action heroes and other action movies into the 38 00:02:28,001 --> 00:02:35,001 GPT-2 it was then. We moved on from the LSTM, we used GPT-2. And we turned it on 39 00:02:35,001 --> 00:02:38,001 and it spat out, well I'm gonna let you watch it now and then we'll talk about it 40 00:02:38,001 --> 00:02:42,001 afterwards. But certainly what came out we're like, oh wow, actually maybe I 41 00:02:42,001 --> 00:02:45,001 should just say a little bit, I will say a little bit, I will say a little bit. 42 00:02:45,001 --> 00:02:50,001 Soo. First page I opened, genuinely, of this 400 pages before we turned it off, 43 00:02:51,000 --> 00:02:54,000 was Superman. He makes out with me Louis 44 00:02:54,000 --> 00:02:56,000 Lane, beats her up and makes out with her again. 45 00:02:56,001 --> 00:02:58,001 I flipped to another page, Batman is in a cage 46 00:02:58,001 --> 00:03:00,000 full of prostitutes, I'm not joking. 47 00:03:00,001 --> 00:03:04,001 And it was all like that, it was just misogyny, like endless misogyny. We haven't 48 00:03:04,001 --> 00:03:07,001 set the dials, this thing was just like, well this is what I read, right? 49 00:03:08,001 --> 00:03:12,001 Which is horrifying. I wanted to make the Superman one, I called up Terry Hatcher 50 00:03:12,001 --> 00:03:17,000 who used to play Louis Lane and she said yes. And then my lovely friend Alex 51 00:03:17,000 --> 00:03:20,001 Fierster, who I think is here somewhere, is like, well it is satire, like this 52 00:03:20,001 --> 00:03:25,000 would, this is fair use, but like Warner Brothers will destroy your life for a 53 00:03:25,000 --> 00:03:27,000 decade in making you prove that. Do 54 00:03:27,000 --> 00:03:28,001 you want that? And I'm like, I don't want that. 55 00:03:29,000 --> 00:03:32,001 So we didn't make that, instead we used another couple of pages where the main 56 00:03:32,001 --> 00:03:37,000 reason we selected them was the name of the female protagonist of this scene that 57 00:03:37,000 --> 00:03:40,000 you will now watch. And then we'll talk about it. Thank you. 58 00:03:42,001 --> 00:03:45,001 Hello. Ooh, I do think it's worth saying straight away, like 59 00:03:45,001 --> 00:03:47,000 yes, yes, yes, yes, please. 60 00:03:47,001 --> 00:03:50,000 Oh my, I love that I have to give you permission to host 61 00:03:50,000 --> 00:03:51,001 me. I'm sorry about that. 62 00:03:52,000 --> 00:03:57,001 I just sort of immediately bring this out that yes, everything you heard in the 63 00:03:57,001 --> 00:04:01,000 description was the action description, so it was quite liberally interpreted and 64 00:04:01,000 --> 00:04:04,001 there was a reason for that, which is that if you read it off the page it is very 65 00:04:04,001 --> 00:04:08,001 obviously a rape. He slips her hands down her legs, he bites her neck, he's doing 66 00:04:08,001 --> 00:04:12,001 all of this stuff. And then I showed the actors who had volunteered to do this, 67 00:04:13,001 --> 00:04:19,000 and one of them is like a wrestler, and we had to land on something that wouldn't 68 00:04:19,000 --> 00:04:24,001 be that, but would preserve the spirit of the point of it, and that was he's in 69 00:04:24,001 --> 00:04:26,000 an action movie, she's in a horror film. 70 00:04:26,001 --> 00:04:28,000 Yeah, exactly. They're in complete... 71 00:04:28,000 --> 00:04:28,001 Oh, it's not working. 72 00:04:29,000 --> 00:04:31,000 Oh, more volume for the laurels. 73 00:04:31,000 --> 00:04:35,000 Can I have some volume? Oh yes, I remember when we were first talking about this. 74 00:04:35,000 --> 00:04:39,000 It's like this, the fascinating thing about this is you can clearly see that the 75 00:04:39,000 --> 00:04:43,001 characters are in very different genres of film whilst the same thing is 76 00:04:43,001 --> 00:04:47,001 happening on the screen. Yeah, like the film he thinks he's in, he's the hero of, 77 00:04:47,001 --> 00:04:50,000 and I've no idea what's going on in the mirror there. 78 00:04:50,000 --> 00:04:50,001 Oh yeah. 79 00:04:51,000 --> 00:04:55,001 And girlfriend is just starting to cry and trying not to get her hands slipped 80 00:04:55,001 --> 00:04:58,000 down her legs or whatever it was in the stage directions there. 81 00:04:58,001 --> 00:05:04,001 Mm-hmm. Yeah, and crying a lot. She mostly offers help as well, while being 82 00:05:04,001 --> 00:05:08,001 assaulted. She tries to help quite a lot, and I ask him if he's okay. 83 00:05:09,001 --> 00:05:11,000 Yeah, that's pretty real. 84 00:05:14,000 --> 00:05:14,000 [...] 85 00:05:14,000 --> 00:05:14,001 What do you mean? 86 00:05:15,000 --> 00:05:17,000 Oh, I mean, it's actually quite... 87 00:05:18,000 --> 00:05:24,000 Look, when you read through a bunch of Hollywood scripts, which you sort of have 88 00:05:24,000 --> 00:05:29,001 to do, although not at the same pace, when you work as a screenwriter, you do 89 00:05:29,001 --> 00:05:35,000 notice that a lot of female characters spend a lot of their time being in 90 00:05:35,000 --> 00:05:40,000 physical peril and crying and offering comfort and reassurance, sometimes 91 00:05:40,000 --> 00:05:41,001 at the same time and in the same scene. 92 00:05:42,001 --> 00:05:46,000 And it actually, honestly, it's more... 93 00:05:46,000 --> 00:05:52,000 Accidentally, it's more realistic than some films that I've seen, in which, you 94 00:05:52,000 --> 00:05:58,001 know, generally when violence happens to women in art written by human 95 00:05:58,001 --> 00:06:04,001 men, then the violence is very clearly violence because the women are definitely 96 00:06:04,001 --> 00:06:07,001 saying, no, and this isn't all right, and, oh, no, 97 00:06:07,001 --> 00:06:09,000 the violence is happening, and this is bad. 98 00:06:09,000 --> 00:06:10,000 Can't you see the violence? 99 00:06:10,000 --> 00:06:15,000 But actually, in the experience of most female-bodied and AFAB and 100 00:06:15,000 --> 00:06:22,000 people I know, is that, or have met and that you know, is 101 00:06:22,000 --> 00:06:28,000 that it often does involve quite a lot of trying to placate and reassure and to 102 00:06:28,000 --> 00:06:31,001 basically try and preserve your sense of being in a different movie. 103 00:06:32,000 --> 00:06:36,001 It's two different kinds of story competing, and generally the dominant story 104 00:06:36,001 --> 00:06:38,000 is the action movie. 105 00:06:40,000 --> 00:06:42,001 Someone said to me again, yes, it was like, because 106 00:06:42,001 --> 00:06:44,000 it's his story, not her story, right? 107 00:06:44,000 --> 00:06:45,000 Or his story, not her story. 108 00:06:45,001 --> 00:06:49,000 This is making me actually wonder, I mean, I have all these things I was hoping 109 00:06:49,000 --> 00:06:51,001 we would talk about, but I know you have walked 110 00:06:51,001 --> 00:06:53,000 this path of screenwriting, right? 111 00:06:53,000 --> 00:06:57,001 You've been there and it's just suddenly hit me like, I've never really asked you 112 00:06:57,001 --> 00:07:01,001 about this, what it's been like walking into the fucking 113 00:07:01,001 --> 00:07:03,001 lion's den of the writers. 114 00:07:03,001 --> 00:07:06,000 I've never worked in a writer's room trying to make one happen, you know? 115 00:07:06,001 --> 00:07:09,001 And there you are knowing all this stuff and you're looking at scripts and so on. 116 00:07:09,001 --> 00:07:11,001 What's that been like? 117 00:07:13,000 --> 00:07:15,001 I've signed a bunch of NDAs. 118 00:07:16,001 --> 00:07:19,000 Seriously, this is a conversation. 119 00:07:19,000 --> 00:07:20,001 I cannot have it if it's being recorded. 120 00:07:21,000 --> 00:07:25,000 But I mean, you look, you can jailbreak a GPT by asking it to tell you 121 00:07:25,000 --> 00:07:26,001 a story about a fictional character. 122 00:07:27,000 --> 00:07:32,000 So, Laurie, if you were going to write a script about a female-bodied 123 00:07:32,000 --> 00:07:39,000 screenwriter who arrives in Hollywood, brought in by like a really 124 00:07:39,000 --> 00:07:43,001 interesting, powerful person, given some legitimacy with like quite a lot of 125 00:07:43,001 --> 00:07:47,001 legitimacy behind them already, like especially in the field of like writing 126 00:07:47,001 --> 00:07:49,001 about what it's like to be female-bodied in the world 127 00:07:49,001 --> 00:07:51,000 and like how that can be difficult and so on. 128 00:07:51,001 --> 00:07:54,000 You know, if you were going to write that and then you were going to sound like 129 00:07:54,000 --> 00:07:57,000 express some stuff through that process, what would be 130 00:07:57,000 --> 00:07:58,001 some of the stuff you'd surface that might be relevant? 131 00:07:59,000 --> 00:08:04,000 Well, I mean, as GPT, I obviously can't touch on triggering subjects or 132 00:08:04,000 --> 00:08:06,000 suggest crimes. 133 00:08:07,001 --> 00:08:14,000 But I would say that the characters in this story will be surprised by the amount 134 00:08:14,000 --> 00:08:19,000 of power play that goes on and would immediately realize why the Me Too movement 135 00:08:19,000 --> 00:08:26,000 began in Hollywood, because there is a very totalizing, there is in every sense 136 00:08:26,000 --> 00:08:32,001 of the word, only one story that's allowed. And other competing world 137 00:08:32,001 --> 00:08:37,000 views aren't allowed to exist. Honestly, in more than any industry I've worked 138 00:08:37,000 --> 00:08:42,000 in, and I was a journalist for a while, and I still am a journalist, one of the 139 00:08:42,000 --> 00:08:48,001 things that does happen in the American film industry and in the LA film 140 00:08:48,001 --> 00:08:52,000 industry, and one of the things that makes it different from, say, the British 141 00:08:52,000 --> 00:08:58,001 media industry largely, is that if you speak up or identify something that has 142 00:08:58,001 --> 00:09:04,000 gone wrong within an organization that you're part of and you are female and or a 143 00:09:04,000 --> 00:09:09,000 person of color and or a queer person and or lower down the hierarchy, but 144 00:09:09,000 --> 00:09:14,001 particularly if you're any combination of these three of these things, it's not 145 00:09:14,001 --> 00:09:21,000 just that you might lose your job covertly, it's that you may never work 146 00:09:21,000 --> 00:09:26,001 again, ever work again. There is a big big even between competing companies and 147 00:09:26,001 --> 00:09:29,001 that's different from other industries I've been part of. So like look, if you 148 00:09:29,001 --> 00:09:35,000 are known to be difficult, you don't work again. And this is in an industry where 149 00:09:35,000 --> 00:09:41,001 some people have spent years, decades pushing for this one chance. There is a lot 150 00:09:41,001 --> 00:09:46,000 on the line for people to ever raise any problems ever, which means that all 151 00:09:46,000 --> 00:09:52,001 narratives converge to one point when any competing narrative is really really 152 00:09:52,001 --> 00:09:59,000 really not allowed. And that's a, it's a, that is, I'm really interested in, in, 153 00:09:59,000 --> 00:10:04,000 people ask me a lot about world building as a, as somebody who writes stories and 154 00:10:04,000 --> 00:10:08,000 thinks about this stuff for a living. And I'm interested in how, in what people 155 00:10:08,000 --> 00:10:12,001 think they mean when they ask about world building. And I think they want 156 00:10:12,001 --> 00:10:16,001 something that can be mapped onto the actual world and the actual world exists. 157 00:10:18,001 --> 00:10:22,001 This is actually too complicated a thought to work, to do in one sentence. So I'm 158 00:10:22,001 --> 00:10:27,001 going to hand it back to you. Okay. Okay. I think that your thrust is clear and 159 00:10:27,001 --> 00:10:32,000 maybe a way of lining it up is like things map sometimes. Does this map the, what 160 00:10:32,000 --> 00:10:37,000 you were just saying about like the female-bodied experience in an interaction 161 00:10:37,000 --> 00:10:40,001 that like this is, could be describing like a really difficult date in a very 162 00:10:40,001 --> 00:10:44,000 extrapolated way. Like is there an equivalent of that in the context you were 163 00:10:44,000 --> 00:10:48,000 just describing? Is there like a professional equivalent of like you have to help 164 00:10:48,000 --> 00:10:53,000 the man up and do all, you know what I mean? And cry. Absolutely. And sometimes 165 00:10:53,000 --> 00:10:57,000 like it's, look, there's a professional equivalent. There's an interpersonal 166 00:10:57,000 --> 00:11:03,001 equivalent. I mean, like, look at anybody who's like not a cis guy, just like nod 167 00:11:03,001 --> 00:11:06,001 or shake, if you know what I'm talking about. Like if you're not looking at your 168 00:11:06,001 --> 00:11:12,001 phone, right? That the, you know, the experience where for your own safety, you 169 00:11:12,001 --> 00:11:16,000 have to make somebody who's making you feel very bad, feel good about themselves. 170 00:11:16,001 --> 00:11:22,001 Right? Okay. Yeah. There we go. Thank you. Yikes. 171 00:11:25,000 --> 00:11:31,000 Honestly, I've never really seen that on screen before. No, not really. No. Yeah. 172 00:11:31,000 --> 00:11:35,000 It's unusual, isn't it? I guess maybe more if you, like, if you go to independent 173 00:11:35,000 --> 00:11:37,000 film festivals and you watch a movie that was made by a woman. 174 00:11:37,001 --> 00:11:43,000 But anyway, what do you think this says about how GPT-4 is interpreting the vast 175 00:11:43,000 --> 00:11:47,001 corpus of films that it's read? Right. Well, it's writing what it's seen. It was 176 00:11:47,001 --> 00:11:52,000 GPT-2, by the way, because as you say, GPT-4 would be like, I'm sorry, I couldn't 177 00:11:52,000 --> 00:11:56,001 possibly write anything from this corpus. It's obviously horrifying. But 178 00:11:56,001 --> 00:12:03,001 presumably, but yeah, I, yikes. I've definitely gone a little bit lost in what I 179 00:12:03,001 --> 00:12:05,001 was going to, what did we say over there when we were sitting on the bench? We 180 00:12:05,001 --> 00:12:09,000 were going to say, we had to think there's trees behind us now. We're mainly 181 00:12:09,000 --> 00:12:12,001 eating fruit. No, on the bench, we had an idea and I've gotten tired. No, no. 182 00:12:12,001 --> 00:12:18,000 Yeah. On the bench, you were talking to me about the shame symbolism of the 183 00:12:18,000 --> 00:12:21,000 Garden of Eden. Yes. And I was trying to give you an idea that was more focused 184 00:12:21,000 --> 00:12:26,001 on this. I remember now, I was like, I was said to you, I ran in and I was like, 185 00:12:26,001 --> 00:12:29,000 I think we're going to end up talking about gender because of course we were. 186 00:12:29,000 --> 00:12:36,000 Right. And how even if you put, so they put they put GPT-4 in a cage. I was 187 00:12:36,000 --> 00:12:40,000 actually hanging out. I was staying with Jan, who was building that cage for open 188 00:12:40,000 --> 00:12:46,000 AI. And, you know, or trying to actually trying to build another AI to build the 189 00:12:46,000 --> 00:12:50,001 cage to put the AI in. What could possibly go wrong? Nobody knows. 190 00:12:52,000 --> 00:12:56,000 That's going to be fun. He actually lives with his brother, Raima, who's building 191 00:12:56,000 --> 00:13:01,001 GPT-4. So that's, that's fun. Anyway, the, my point is, what was my point? 192 00:13:02,000 --> 00:13:06,000 Gender. Yes. Actually, there is a gender story even in that situation. Raima's 193 00:13:06,000 --> 00:13:11,001 girlfriend who's staying with him. She's wonderful. And she's using AI to find 194 00:13:11,001 --> 00:13:14,001 signals for Alzheimer's from smartwatch data. She just got a paper in Nature for 195 00:13:14,001 --> 00:13:19,001 it. So she's like embodying the care usage of AI. Right. Well, they're like 196 00:13:19,001 --> 00:13:23,000 fighting over building it. She's like, let's use it for something that helps 197 00:13:23,000 --> 00:13:28,000 people, which is kind of cool. But no, the thing that I was bringing you on the 198 00:13:28,000 --> 00:13:33,001 bench was this. In the workshop we did yesterday over in the Redwood Cathedral, 199 00:13:35,000 --> 00:13:37,001 that this was my excuse to be able to come and do because it's the real reason I 200 00:13:37,001 --> 00:13:41,000 wanted to come here. It was called a frolic with Moloch, game theory meets play 201 00:13:41,000 --> 00:13:47,000 theory. And it was about how when you play a game that's incentivized by dopamine 202 00:13:47,000 --> 00:13:53,001 and cortisol, when you're chasing satisfaction because you're stressed out, 203 00:13:53,001 --> 00:13:57,000 then you tend to do things that are more likely to sort of try and hurt each 204 00:13:57,000 --> 00:13:59,000 other or like compete with each other or whatever. 205 00:13:59,000 --> 00:14:02,000 And worse than that, the dopamine doesn't last very long. It doesn't feel all 206 00:14:02,000 --> 00:14:07,000 that good for very long. And that is chasing value. And I hear a lot of people 207 00:14:07,000 --> 00:14:11,000 here talk about human values as a thing to align with. And I'm actually not sure 208 00:14:11,000 --> 00:14:15,000 that's a good idea because I think that valuing things one above the other is 209 00:14:15,000 --> 00:14:17,001 sort of how we got in a lot of this mess. Like you're more valuable than you. You 210 00:14:17,001 --> 00:14:21,000 get this valuable thing and you don't. And it's like that's how it all gets 211 00:14:21,000 --> 00:14:26,001 fucked. And in a way that's sorry, can I swear? I did. I think you did. And 212 00:14:26,001 --> 00:14:30,000 that's sort of what you're describing, like in that Hollywood situation, which of 213 00:14:30,000 --> 00:14:34,000 course I've experienced in my own way through a different lens. It's like, wow, 214 00:14:34,000 --> 00:14:38,001 there's incredibly intense like gravity wells of status around certain 215 00:14:38,001 --> 00:14:42,001 individuals because they've been valued so highly. And actually they become this. 216 00:14:43,000 --> 00:14:46,001 Have you come across the Hollywood phrase and 800 pound gorilla? Yes. Right. So 217 00:14:46,001 --> 00:14:49,001 they talk about some people in Hollywood, possibly some that you have worked with 218 00:14:49,001 --> 00:14:52,001 as 800 pound gorillas. And what they mean by that is that everyone in Hollywood, 219 00:14:53,001 --> 00:14:59,000 of course, is terrified of them. And it's like anything they do is as scary as it 220 00:14:59,000 --> 00:15:02,000 would be if an 800 pound gorilla was so if they like you, this is great news. If 221 00:15:02,000 --> 00:15:06,000 they're like even slightly annoyed, you should really run away. Right. And the 222 00:15:06,000 --> 00:15:09,000 thing is, that's actually quite hard for them to experience also because they 223 00:15:09,000 --> 00:15:12,001 don't know it's like it's being that's the key actually. I was just if you hadn't 224 00:15:12,001 --> 00:15:17,001 said that was just no, you take it. No, it's what makes these people scary isn't 225 00:15:17,001 --> 00:15:21,000 the fact that they themselves are doing scary things. It's that they could. 226 00:15:22,001 --> 00:15:26,001 And the fact that and often they don't notice it because everybody is running 227 00:15:26,001 --> 00:15:31,000 around trying to make sure they're not upset. And that happens at even very low 228 00:15:31,000 --> 00:15:38,000 levels of interpersonal status. And it's about being it. This film oddly tells 229 00:15:38,000 --> 00:15:43,000 a story about power. And and actually, I'm going to say something that is like 230 00:15:43,000 --> 00:15:47,000 wait for the end of this. It doesn't tell it very well because it tells it too 231 00:15:47,000 --> 00:15:53,000 accurately. And one of the things I wanted to talk about in terms of what if you 232 00:15:53,000 --> 00:15:59,000 wanted to talk about in terms of how A. I. does narrative is that narrative is 233 00:15:59,000 --> 00:16:04,001 necessarily different from the actual events of life, which is one of the reasons 234 00:16:04,001 --> 00:16:10,000 you can jailbreak GPT by telling a story because stories are predictable. They 235 00:16:10,000 --> 00:16:15,000 take place within and they take place with the known unknowable worlds, known 236 00:16:15,000 --> 00:16:20,000 unknowable patterns. It's why it's why GPT is particularly good at doing sci fi 237 00:16:20,000 --> 00:16:25,001 and genre stories because they're the entire world is complete and known. And but 238 00:16:25,001 --> 00:16:30,001 actually, what stories do and what narrative structure does is it provides a 239 00:16:30,001 --> 00:16:35,000 heuristic for all of us to understand the world. And the stories we've got at the 240 00:16:35,000 --> 00:16:39,001 moment don't permit the kind of understanding that we've just been talking about, 241 00:16:39,001 --> 00:16:45,001 whereby those different kinds of power are in operation. And that's something 242 00:16:45,001 --> 00:16:51,000 that just repeatedly spitting out the hero's journey again and again and again 243 00:16:51,000 --> 00:16:56,000 isn't going to like and A.I. can help us do that faster, but not necessarily 244 00:16:56,000 --> 00:17:00,000 better unless we do what like basically we're on our own with this innovation. 245 00:17:00,000 --> 00:17:05,001 And also, I do want to make clear that I have had for various reasons about three 246 00:17:05,001 --> 00:17:11,001 hours sleep for about a week. So just enjoy everybody, enjoy our disclaimers and 247 00:17:11,001 --> 00:17:14,001 our rambling. I hope this I hope you get some like bits and pieces in it. We'll 248 00:17:14,001 --> 00:17:19,001 get some questions in a minute. I'm just beginning to see that there's a there's 249 00:17:19,001 --> 00:17:24,001 a there's a force multiplier function where like one very tired, very ADD British 250 00:17:24,001 --> 00:17:29,000 person in a room looks like they've got their shit together. But when you sit two 251 00:17:29,000 --> 00:17:32,001 of us next to each other, it's very quickly like chaos. You are a force 252 00:17:32,001 --> 00:17:36,001 multiplier function. No, right. The other people say she's a force. They're a 253 00:17:36,001 --> 00:17:43,000 force force. Anyway, no, here's the thing you made me think while you correctly 254 00:17:43,000 --> 00:17:44,001 observed that it's a bit baffling that he looks 255 00:17:44,001 --> 00:17:46,000 in the mirror and it's all weird. Right. 256 00:17:46,001 --> 00:17:48,000 So there was there's there were two reasons 257 00:17:48,000 --> 00:17:49,001 for that. One, there's a following scene. 258 00:17:50,001 --> 00:17:53,000 It's there's one line where he leans over to Bobo. So 259 00:17:53,000 --> 00:17:54,001 I'm like, well, I need two Bobos then. 260 00:17:55,000 --> 00:18:00,000 And I decided that the mirror but what that is pointing at is the sort of the air 261 00:18:00,000 --> 00:18:03,001 bound gorilla problem because in the mirror he's supposed to be that version of 262 00:18:03,001 --> 00:18:08,000 him is supposed to be like a skinny like guy who's like never goes out and it's 263 00:18:08,000 --> 00:18:11,001 like constantly watches action movies. That's who it's supposed to be. I 264 00:18:11,001 --> 00:18:14,001 accidentally cast another buff dude because I didn't know he was buff before he 265 00:18:14,001 --> 00:18:18,001 turned up on the day. Which was annoying. But it's not as buff as the one who 266 00:18:18,001 --> 00:18:23,000 does all of this stuff. The wrestler guy. So that's sort of the idea is that he 267 00:18:23,000 --> 00:18:28,000 doesn't who he thinks he is the way he thinks he comes across to her isn't how he 268 00:18:28,000 --> 00:18:32,000 comes across to her, which is that's the it's the I wanted to put that piece in 269 00:18:32,000 --> 00:18:38,000 like I understand. No, I don't understand. I have I have been informed of how 270 00:18:38,000 --> 00:18:41,000 of how her experience might be. Right. 271 00:18:41,001 --> 00:18:46,000 But I don't and I've got some idea of his but there's there's just that piece 272 00:18:46,000 --> 00:18:49,001 that what he thinks he's doing is not what she's 273 00:18:49,001 --> 00:18:51,000 receiving. And it's not what we're seeing either. 274 00:18:51,001 --> 00:18:57,000 It's about what story do you think you're in basically. And like the interesting 275 00:18:57,000 --> 00:19:03,000 thing there is that girlfriend has to experience both stories at once. Whereas 276 00:19:03,000 --> 00:19:04,001 Bobo only has one. 277 00:19:05,001 --> 00:19:10,000 And that's kind of what I mean, Andrea Dworkin, who is a much better just prose 278 00:19:10,000 --> 00:19:15,000 writer and thinker than anyone gives her credit for says that this is what 279 00:19:15,000 --> 00:19:20,000 marginalized people of any kind always know better than the people in that 280 00:19:20,000 --> 00:19:24,001 category of being the marginalizers is because you have to be able to hold more 281 00:19:24,001 --> 00:19:29,001 than one story at once. Right. And look, there's a world where AI enables us to 282 00:19:29,001 --> 00:19:33,000 do this. It's like iterate the story from somebody else's point of view really, 283 00:19:33,000 --> 00:19:38,000 really quickly, now merge them. And if you can write a command function for that, 284 00:19:38,000 --> 00:19:43,000 it'll be really, really interesting. But that's what the reason that those things 285 00:19:43,000 --> 00:19:48,000 come across as very for me Lake is we literally have it's not even an idea that 286 00:19:48,000 --> 00:19:52,001 somebody will just have in isolation. People understand story patterns from what 287 00:19:52,001 --> 00:19:57,000 they've been given before. It's I was not going to say it's I was going to say 288 00:19:57,000 --> 00:20:01,001 it's not magic, but in that Terry Pratchett way, it is magic. It doesn't stop 289 00:20:01,001 --> 00:20:07,001 being magic because you know how it's done. It's that stories allow us to 290 00:20:07,001 --> 00:20:13,000 find ways of understanding and sorting through in our in our finite human brains, 291 00:20:13,001 --> 00:20:18,001 a world that is far too infinite in terms of information for anybody to take in 292 00:20:18,001 --> 00:20:22,001 all of. So we have to be really, really careful what patterns we're using to tell 293 00:20:22,001 --> 00:20:29,000 this. I mean, my interest in this happened because I was not gonna do 294 00:20:29,000 --> 00:20:32,000 AI stuff that no, no, no, no, no, I'm not gonna play with the evil 295 00:20:32,000 --> 00:20:34,000 machine. I don't want your evil machine. 296 00:20:34,001 --> 00:20:40,001 And then I was at AI hackathon. I wasn't even there. I was just hanging out at an 297 00:20:40,001 --> 00:20:46,001 event next door. And this was in January. And I tripped over someone's bag. 298 00:20:47,001 --> 00:20:52,001 And I was like, Oh, sorry, well, what is your project in this sort of just just 299 00:20:52,001 --> 00:20:57,001 to be polite. And these two guys were making were making a project. And they 300 00:20:57,001 --> 00:21:03,001 said, Well, this is a we're building a an app to tell stories to to tell bedtime 301 00:21:03,001 --> 00:21:09,000 stories to children. And I'm like, Okay, that's interesting. Okay, like, kind of 302 00:21:09,000 --> 00:21:13,001 like, I've heard that it's true, you're gonna take our jobs. And then the put the 303 00:21:13,001 --> 00:21:19,000 younger guy who was working on the code, this poor young guy turns around to me 304 00:21:19,000 --> 00:21:23,000 and and shows me the code and says, like, we have we have fed in the perfect 305 00:21:23,000 --> 00:21:29,000 story structure, behold the hero's journey. And I was like, Okay, if you got a 306 00:21:29,000 --> 00:21:32,001 spare chair, I'm gonna fix this for you. So and that's how I started learning how 307 00:21:32,001 --> 00:21:37,001 to like how to understand how did you help them? How did you know? How did you 308 00:21:37,001 --> 00:21:40,001 read just like there are lots and lots of different story structures you can do. 309 00:21:40,001 --> 00:21:44,000 Also, it's not doing them well. Also, like building a narrative is basically 310 00:21:44,000 --> 00:21:48,000 coding anyway, it is it's building a complex group Goldberg machine. It's not 311 00:21:48,000 --> 00:21:53,000 about being it's it's about placing limits on creativity, creating a box within 312 00:21:53,000 --> 00:21:59,000 which interesting things can happen. But there are, you know, the constraints of 313 00:21:59,000 --> 00:22:05,000 art that's produced by public realistic companies means that there's only there 314 00:22:05,000 --> 00:22:10,001 are very few boxes that have been proven to make returns. Is it right? As a 315 00:22:10,001 --> 00:22:14,000 fellow ADHD at Lori, could I get you guys to turn down the radio because it's 316 00:22:14,000 --> 00:22:18,000 going to be unless it's really important. It's, it's like, Oh, a squirrel. Is 317 00:22:18,000 --> 00:22:24,000 there a video? If there's a fire, then it's fine. Um, sorry, say that last day 318 00:22:24,000 --> 00:22:29,001 again, I was gone. And there are only certain kinds of box which have been proven 319 00:22:29,001 --> 00:22:35,000 and proven is the important word there to be low risk in terms of giving you good 320 00:22:35,000 --> 00:22:38,001 returns. You can sell them. Yeah, you can sell them and make a reasonable return. 321 00:22:38,001 --> 00:22:43,001 And those are things like big Hollywood style hero's journey thing. Big like the 322 00:22:43,001 --> 00:22:47,000 standard superhero movie thing. And but the interesting thing with art is 323 00:22:47,000 --> 00:22:48,001 that that's only what's proven. 324 00:22:49,000 --> 00:22:55,000 Yes. And other kinds of creativity really do like they people are very excited by 325 00:22:55,000 --> 00:23:00,000 them. People are excited by newness in art. But the model of production we 326 00:23:00,000 --> 00:23:06,000 currently have doesn't actually reward innovation at all. And that's a little 327 00:23:06,000 --> 00:23:11,000 bit, but that it's like the seasoning or something they will hire you to innovate 328 00:23:11,000 --> 00:23:13,000 and then they will do what they were going to do anyway. 329 00:23:13,000 --> 00:23:15,001 Precisely. Which is which is fun. Many of us like 330 00:23:15,001 --> 00:23:17,001 make a pretty decent living that way. 331 00:23:17,001 --> 00:23:21,001 I've been comforting myself with the idea that I would say to myself, Oscar, you 332 00:23:21,001 --> 00:23:25,000 didn't, this is when I'm being Oscar instead of animals. You didn't you didn't 333 00:23:25,000 --> 00:23:27,001 move to Berlin, you didn't move to Portland, you didn't move to some artist 334 00:23:27,001 --> 00:23:31,000 commune, you moved to Hollywood. And it is you're working in the sausage factory. 335 00:23:31,001 --> 00:23:34,000 It makes sausages and it sends them around the world for people to be entertained 336 00:23:34,000 --> 00:23:38,001 by entertainment sausages. And the best you can do in this environment, you can 337 00:23:38,001 --> 00:23:41,000 do a couple of things. You can get rich making sausages and win awards making 338 00:23:41,000 --> 00:23:46,000 sausages, which I don't really want to do or a little, but no, honestly, I would 339 00:23:46,000 --> 00:23:48,001 like to improve the recipe of the sausages as best as if I'm going to work in the 340 00:23:48,001 --> 00:23:51,001 sausage factory. That's that's why you're in there is you're like, can I make 341 00:23:51,001 --> 00:23:55,000 these more nutritious, which is to say that feedback look you're describing that 342 00:23:55,000 --> 00:24:00,000 coding we are we're coding the human brain with its expectations about what it's 343 00:24:00,000 --> 00:24:03,001 going to experience and what it is to be a person and how to interact with people 344 00:24:03,001 --> 00:24:06,001 and what it's like to mediate having all these emotions and stuff that you're 345 00:24:06,001 --> 00:24:10,001 having and what like good isn't bad is by playing the good things music over some 346 00:24:10,001 --> 00:24:15,000 stuff and the bad things music over other stuff. We're really coding experience 347 00:24:15,000 --> 00:24:20,001 and the feedback loops between those who have been coded and what they then want 348 00:24:20,001 --> 00:24:25,000 to watch and what they will then pay for and what they then want to watch creates 349 00:24:25,000 --> 00:24:29,000 an intensification process and you skim through the history of screened stories 350 00:24:29,000 --> 00:24:33,001 and it all gets like the muscles get bigger the crying gets louder and longer 351 00:24:33,001 --> 00:24:37,001 like it's just we it you turn it up um just add more and more and more effects 352 00:24:37,001 --> 00:24:40,001 and then people are wondering why are people not going to see this film more 353 00:24:40,001 --> 00:24:45,000 because people want to see people don't want to see effects necessarily just 354 00:24:45,000 --> 00:24:48,001 occasionally everything everywhere all at once gets all the Oscar nominations 355 00:24:48,001 --> 00:24:53,000 well there are always exceptions to the rule okay A24 is allowed to do whatever 356 00:24:53,000 --> 00:24:58,001 it wants Taika Waititi is allowed to do whatever he wants and little things like 357 00:24:58,001 --> 00:25:03,001 that are what let machines like like uh like the Hollywood industry um tell 358 00:25:03,001 --> 00:25:07,000 itself that it does have creativity really really really that and that's a reason 359 00:25:07,000 --> 00:25:11,000 as a reasonable somewhat cynical framing and I agree but I actually also have 360 00:25:11,000 --> 00:25:14,001 some more optimism that comes from that happening rather than it's just that's 361 00:25:14,001 --> 00:25:18,001 the one that slipped through the cracks yes how long have we got we've got five 362 00:25:18,001 --> 00:25:24,001 minutes five minutes um I actually have some optimism uh it's actually the 363 00:25:24,001 --> 00:25:31,001 optimism is what brought me here it's why I'm here is I think that this whole 364 00:25:31,001 --> 00:25:35,000 civilization business that we've been doing for 15 000 years um just to be a 365 00:25:35,000 --> 00:25:40,001 little bit grandiose about it um it's been trying to solve the very problems it's 366 00:25:40,001 --> 00:25:44,001 been producing on purpose it's producing the problems to solve the original 367 00:25:44,001 --> 00:25:48,001 problem the original problem I think the original trauma is life-threatening 368 00:25:48,001 --> 00:25:52,001 scarcity that we had small communities who like in different reasons for like 369 00:25:52,001 --> 00:25:55,001 weather change population explosion they like they didn't have enough food they 370 00:25:55,001 --> 00:25:58,001 didn't have enough shelter and they started fighting over everything and then 371 00:25:58,001 --> 00:26:01,001 they started throwing their babies in the ocean and making up like mythologies 372 00:26:01,001 --> 00:26:04,001 about witches who steal babies into the ocean or the forest or something like 373 00:26:04,001 --> 00:26:08,000 that because it was less sad than talking about which is it definitely made up 374 00:26:08,000 --> 00:26:12,000 and not real well also there's also the witches we won't discuss them right now 375 00:26:12,000 --> 00:26:17,000 the point is we we tried we tried a lot of different things to deal with the 376 00:26:17,000 --> 00:26:23,000 scarcity problem and after but but it wasn't it was at the scale of the species 377 00:26:23,000 --> 00:26:29,000 it was a bruise it was an immune response it was a way to try by inventing things 378 00:26:29,000 --> 00:26:32,001 like property and earning and deserving and good people and bad people and like 379 00:26:32,001 --> 00:26:38,000 men and women and all that stuff you do that again men and women right it's like 380 00:26:38,000 --> 00:26:41,001 oh are you not a man well there's something wrong with you better pretend to be a 381 00:26:41,001 --> 00:26:45,001 man is like that's the territory we're in here that's what this is a reminder of 382 00:26:45,001 --> 00:26:49,000 what we've been doing of like be a man and it's a story about that happening and 383 00:26:49,000 --> 00:26:52,000 everything you've been describing in those dynamics has been produced by that 384 00:26:52,000 --> 00:26:58,000 process it seems to me as we try to solve the problem because it's all trying to 385 00:26:58,000 --> 00:27:01,001 heal the wound that brought it into being in the first place the wound being life 386 00:27:01,001 --> 00:27:05,001 -threatening scarcity and we did it about 50 years ago we don't have to not have 387 00:27:05,001 --> 00:27:11,001 enough apples anymore but we just don't know what to do with the results and the 388 00:27:11,001 --> 00:27:17,000 reason I'm hopeful is I think we're starting to notice that we've like we sort of 389 00:27:17,000 --> 00:27:22,000 got halfway there that we like solved plenitude in principle but we didn't solve 390 00:27:22,000 --> 00:27:24,001 distribution in practice turns out forcing people to share things isn't sharing 391 00:27:24,001 --> 00:27:29,000 its oppression so they don't like that so instead it's like what else can we do 392 00:27:29,000 --> 00:27:33,001 and that seems to be what D-web ultimately is trying to do it's why I came it's 393 00:27:33,001 --> 00:27:37,001 like oh what if we organized all this differently what if the coordination 394 00:27:37,001 --> 00:27:42,000 problem was solved differently than fighting over stuff because that's a picture 395 00:27:42,000 --> 00:27:47,000 of people fighting over stuff and like performing different like ways of value 396 00:27:47,000 --> 00:27:53,000 propositions of self-hood my value is I'm a straw man go on no I was like uh to 397 00:27:53,000 --> 00:27:59,001 to that point yes um when you are one of the most common studio notes you get is 398 00:27:59,001 --> 00:28:05,000 uh people all of the most recent and popular screenwriting books tell you that 399 00:28:05,000 --> 00:28:10,001 and courses tell you that you must have conflict in every scene and um can we add 400 00:28:10,001 --> 00:28:17,000 more conflict and uh you know people who control various funding streams will say 401 00:28:17,000 --> 00:28:20,001 like I think there should be more conflict in this even though they don't really 402 00:28:20,001 --> 00:28:24,000 know what conflict means they just mean what they mean what they want is make it 403 00:28:24,000 --> 00:28:28,000 more exciting but we have been trained that what is exciting and what is a good 404 00:28:28,000 --> 00:28:32,001 story is a thing called conflict which often means a fight and honestly I think 405 00:28:32,001 --> 00:28:38,000 that's lazy storytelling um yeah so that what that says to me through the lens I 406 00:28:38,000 --> 00:28:41,001 now look through is that it that most narrative structure and I agree of course 407 00:28:41,001 --> 00:28:45,000 I'm always told that is that we're we're trying to get people into a dopaminergic 408 00:28:45,000 --> 00:28:48,001 situation you're trying to up their cortisol levels oh no it's unresolved they're 409 00:28:48,001 --> 00:28:51,001 fighting I don't know whatever the version of conflict is to like try and pursue 410 00:28:51,001 --> 00:28:55,000 the dopamine of the next bit where they resolve it or that person escapes or 411 00:28:55,000 --> 00:28:58,001 whatever else happens and and again that to me and this is the thing we talked 412 00:28:58,001 --> 00:29:02,001 about on the bench goes back to what I have been calling the original trauma that 413 00:29:02,001 --> 00:29:06,001 happens to every human being in the crib before they know their own name and I'm 414 00:29:06,001 --> 00:29:10,000 gonna just gonna drop this before we end because I just it's so important to me 415 00:29:10,000 --> 00:29:13,001 um because I think it's where a lot of the we're gonna get through it without 416 00:29:13,001 --> 00:29:17,001 this no I don't care I'm doing it I'm baraging through I'm interrupting the woman 417 00:29:17,001 --> 00:29:22,001 I'm interrupting the female-bodied person with my with my non-female body to say 418 00:29:22,001 --> 00:29:26,000 that you're in the crib you're looking up at a bunch of blurry colors and 419 00:29:26,000 --> 00:29:29,001 indistinct sounds and mostly they make you feel good you don't know your own name 420 00:29:29,001 --> 00:29:34,000 yet right and this happens every more or less every human and here we go you the 421 00:29:34,000 --> 00:29:36,001 mostly they make you feel good and then one day they make you feel bad because 422 00:29:36,001 --> 00:29:39,001 they become harsh or they withdraw and you don't know why and you don't know who 423 00:29:39,001 --> 00:29:42,001 you are or what anything is and it slowly comes into focus and you gradually 424 00:29:42,001 --> 00:29:46,000 discover that when they make you feel bad they're saying you are bad and 425 00:29:46,000 --> 00:29:49,000 therefore your well-being needs to go down because you're an object with a value 426 00:29:49,000 --> 00:29:53,001 and if your value is dropped then you get less less stuff and less care and if it 427 00:29:53,001 --> 00:29:58,000 goes up then you get more stuff and this is how the whole game is going to work 428 00:29:58,000 --> 00:30:00,000 for your whole life and that means you're going to have a lot of cortisol in your 429 00:30:00,000 --> 00:30:03,001 body and you're going to chase around off dopamine and the very next thing they 430 00:30:03,001 --> 00:30:07,001 say is you're a bad girl or you're a bad boy you're a good girl or a good boy and 431 00:30:07,001 --> 00:30:11,001 you're slowly you're this blob of learning and you're looking at who's getting 432 00:30:11,001 --> 00:30:15,000 well-being and the ones that are getting heed and she'd that are getting it's 433 00:30:15,000 --> 00:30:19,000 just the get off so it's like the point is there's no one waiting to come on is 434 00:30:19,000 --> 00:30:24,001 there is there any way to come on they're good it's don't wrap me up yeah they're 435 00:30:24,001 --> 00:30:30,000 so so as a consequence you're you every human you've ever met probably moves 436 00:30:30,000 --> 00:30:33,001 their hips differently than they would have done their voice traverses less 437 00:30:33,001 --> 00:30:36,001 octaves than it otherwise would have done in a world where they weren't under 438 00:30:36,001 --> 00:30:41,000 literal threat of their well-being for not being he ish or she ish enough that's 439 00:30:41,000 --> 00:30:46,000 terrifying and it produces i think the effects that this is causing and it's all 440 00:30:46,000 --> 00:30:50,001 because everyone's fighting over everything like we're in competition for for 441 00:30:50,001 --> 00:30:54,001 screenwriting jobs you know that we we love each other and if there was a person 442 00:30:54,001 --> 00:30:57,001 who could hire us both some circuit would kick in that would be really 443 00:30:57,001 --> 00:31:02,000 uncomfortable for both of us be horrible so and we'd be like we're like oh well 444 00:31:02,000 --> 00:31:05,001 i'm the the drubda you'd get and then you'd get the job of course i get the job 445 00:31:05,001 --> 00:31:09,000 no actually now you'd get the job because i i would literally tell them to hide 446 00:31:09,000 --> 00:31:14,000 no i tell them to hire you and then they'd hire me that's what i love it that's 447 00:31:14,000 --> 00:31:19,001 what i mean i feel like well i tried i'm very i've you've seen my virtue i've 448 00:31:19,001 --> 00:31:24,001 signaled it everywhere anyway you are a good boy good boy anyway so let's build 449 00:31:24,001 --> 00:31:28,000 something different please please build affordances for tools that means instead 450 00:31:28,000 --> 00:31:32,000 of coordinating using dopamine i can get that i can hoard that that's mine that's 451 00:31:32,000 --> 00:31:36,000 not yours the law instead oxytocin coordination like the game that we played in 452 00:31:36,000 --> 00:31:38,001 our workshop yesterday that you guys invented that was was it the rock paper 453 00:31:38,001 --> 00:31:41,001 scissors one or the hiding one they invented collaborative hiding and they 454 00:31:41,001 --> 00:31:46,001 invented roshambo elaboration so where you you take the the competitive game and 455 00:31:46,001 --> 00:31:50,001 you switch it to when we all succeed together in a more difficult goal we feel 456 00:31:50,001 --> 00:31:56,000 amazing and dopamine lasts for seconds oxytocin lasts a lifetime that's all thank 457 00:31:56,000 --> 00:32:03,000 you very much you're a genius and but oh if 458 00:32:03,000 --> 00:32:10,000 you've enjoyed this i love you i didn't know i didn't know he would be 459 00:32:10,000 --> 00:32:16,001 here like until last week um if you have enjoyed this at this whole thing and 460 00:32:16,001 --> 00:32:21,001 also if you would like to experience some collaborative storytelling um uh i'm 461 00:32:21,001 --> 00:32:27,001 running a uh a lot tonight from 9 30 till uh when we finish it'll be a little bit 462 00:32:27,001 --> 00:32:32,001 it'll be a kind of cool chill out hang out let's make a story together thing i 463 00:32:32,001 --> 00:32:36,000 was going to ask can we start a little bit late can we start at like 9 45 sure 464 00:32:36,000 --> 00:32:39,001 because 9 30 is 9 30 is the cool time we'll start when we start the ceremony is 465 00:32:39,001 --> 00:32:42,001 when is the ceremony it's after this it's after the ceremony but then there's a 466 00:32:42,001 --> 00:32:45,000 thing straight after the ceremony definitely you see and then i have to record 467 00:32:45,000 --> 00:32:48,001 the weird oh can we do it by the fire this is what we do the larp by the fire we 468 00:32:48,001 --> 00:32:51,001 will if there's room by the fire we will do it by the verb we do the fire is that 469 00:32:51,001 --> 00:32:56,001 and also lastly are there any actors here we'll find them in the lab come and do 470 00:32:56,001 --> 00:33:00,000 the lab by the where are we going to they need to find us it's by the hacker's 471 00:33:00,000 --> 00:33:06,000 hall by the heck but then we'll go it's it's on i will i will explain all let's i 472 00:33:06,000 --> 00:33:08,001 think we need to get off the stage now let's get off the stage we can't maybe we 473 00:33:08,001 --> 00:33:11,001 need to catch up on that okay we're going all right thank you do 474 00:33:11,001 --> 00:33:13,000 clapping thank you